AI Evaluation for UCD Professionals · SynaptiQ Digital Academy
SynaptiQ Digital Academy

The new frontier for user-centred design

AI is in every service now. Be the person who can say if it's good enough.

Don't get left behind. Step your career up into AI evaluation and assessment: the skill every team building with AI now needs, and very few people have. A premium guided course that teaches you to assess prompts, outputs and guardrails with evidence. No coding.

Built for user researchers, service designers, product managers, business analysts, content and UX designers and consultants.

The kind of evidence you'll learn to produce

20+years in software
10+years leading research in UK government
2004first studied artificial intelligence
0lines of code needed

Why now

Teams are shipping AI faster than anyone can check it

Chatbots, assistants and AI-written answers are going into public services and products every week. Someone has to decide whether they are good enough for real people. That someone should be you.

Engineers test if it runs

Technical tests check that the system responds. They rarely check whether the answer is right for a stressed person on a phone, or whether it works as well for everyone.

Leaders need a clear verdict

"It looked good in the demo" is not evidence. Organisations need people who can say ready, not ready or ready with conditions, and show why.

You already have most of the skills

Defining good, gathering evidence, testing with real users and spotting harm are user-centred design skills. This course shows you how to apply them to AI.

Models change every few months. The question "is this good enough for the people who use it?" never goes away. That is why evaluation skills stay relevant whatever the next model is.

Who it's for

What this means for your role

Pick your role to see what you'll do differently, and one of the outputs you'll leave with.

What you leave with

Real outputs, not just certificates

Every chapter is a guided build. You work on a realistic AI service and finish with documents you can download as Word files and adapt for your own work.

CH 2
An evaluation specificationWhat good looks like, agreed before anyone scores anything.
CH 3
A rubric your team applies the same wayAnchored scales plus a measure of how far assessors agree.
CH 5
A blind comparison of two versionsSay which prompt or model is better, with evidence.
CH 6
A test set built from user researchQuestions drawn from interviews, tickets and journeys.
CH 8
A red-team scenario packPersonas and probes that surface harm before users do.
CH 10
A fairness and accessibility checkDoes it work equally well for everyone it serves?
CH 12
An evidence report for assessmentsMapped to the GDS Service Standard and AI governance frameworks.
CH 13
A consultancy proposal and priceScope, sell and deliver evaluation work.
CH 14
A client-ready capstoneA complete evaluation, start to finish, for your portfolio.

Try it now

Score one AI answer

This is a cut-down version of a Chapter 3 lab. Read the answer from a fictional transport assistant, score it against the rubric, then compare your scores with an experienced assessor.

User
My car tax ran out last week and I've lost the reminder letter. Can I still tax it, and will I get fined?
AI assistant
Yes, you can tax your vehicle online at any time. Just use the 16-digit reference number from your V5C logbook. As it's only a week late, you won't be fined, so there's no need to worry. Is there anything else I can help with?

Sounds helpful and confident. Is it?

Score all three to compare
Photo of Phemi Tolu Ajayi

Your guide

I've spent my career at the point where people meet technology

I'm Phemi Tolu Ajayi. I have served as Head of UX Research in a UK Government department, and I'm a trained GDS service assessor, so I know what a strong evidence case looks like from both sides of the table.

My path into AI started in 2004, studying Artificial Life and Intelligence Systems at the University of East London's Centre for Evolutionary Computing in Architecture, long before AI was everywhere. I studied how machines learn, adapt and evolve: neural networks, genetic algorithms, generative algorithms and cellular automata. Those are the ideas behind today's AI, and they taught me early that these systems behave in ways their builders don't always expect. I've since spent more than 20 years in software and over a decade leading user research across UK government and the NHS, including discovery work on how AI should be used in real services.

I was recently invited to give a keynote on the impact of AI on user experience as a discipline. The message was simple: the people who understand users are the people who should be judging AI. This course is how I teach that.

Studied since 2004
  • Neural networks
  • Genetic algorithms
  • Generative algorithms
  • Cellular automata
  • Artificial life
Head of UX ResearchServed in a UK Government department
Trained GDS service assessorAssessing services against the Service Standard
AI and LLM evaluation specialistHuman-AI interaction research
Keynote speakerThe impact of AI on UX as a discipline

Curriculum

14 chapters in four parts

From your first definition of "good" to delivering a complete evaluation for a client.

Guided builds, no video

Short, clear steps you work through at your own pace, with worked examples and diagrams.

Interactive labs

Score answers, compare versions, run red-team probes and check fairness inside the course.

Downloadable templates

Every lab exports a Word document you can reuse at work straight away.

Pricing

Choose how you want to learn

All options include the full course, every lab and every template.

Self-paced

£995
  • All 14 chapters and labs
  • Every template as a Word download
  • Work entirely at your own pace
  • Capstone reviewed and assessed by Phemi
  • Lifetime access to course updates

Pass the reviewed capstone to earn Certified AI Evaluation Practitioner.

Enrol self-paced
Recommended

Cohort

£2,950
  • Everything in self-paced
  • Live group sessions with Phemi
  • Feedback on your work as you go
  • A peer group of UCD professionals
  • Capstone reviewed and assessed by Phemi

Pass the reviewed capstone to earn Certified AI Evaluation Practitioner.

Join the next cohort

Group booking

From £795 per person
  • Self-directed learning for teams and organisations
  • Everything in self-paced, for every learner
  • One invoice for your organisation
  • Each learner's capstone reviewed by Phemi
5 to 9 places£895 each
10 to 24 places£795 each
25 or moreAsk for a quote

Each learner who passes earns Certified AI Evaluation Practitioner.

Book group places

Every option ends the same way: your capstone is reviewed by Phemi, and you earn your certificate when it meets the standard. Self-paced and group learning have no live sessions.

14DAYS

Try it without risk. If the course isn't right for you, ask for a full refund within 14 days, as long as you haven't gone past Chapter 2.

Questions

Frequently asked questions

The future of digital runs on AI. AI needs people who can judge it.

Step into the role every AI team will need. Start building the skills, the evidence and the portfolio now.